Abstract #0918

Fully automatic segmentation of spinal cord gray matter on patients with degenerative cervical myelopathy

Sara M. Dupont¹, Allan R. Martin^2,3, Nikola Stikov^1,4, Michael G. Fehlings^2,3, and Julien Cohen-Adad^1,5

¹NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada, ²Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, ON, Canada, ³Toronto Western Hospital, University Health Network, Toronto, ON, Canada, ⁴Montreal Heart Institute, Montreal, QC, Canada, ⁵Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada

Degenerative cervical myelopathy (DCM) occurs when arthritic changes cause extrinsic spinal cord (SC) compression, inducing motor and sensory disabilities due to gray matter (GM) and white matter (WM) injury. GM segmentation of MR images can quantify atrophy of both GM and WM and may offer biomarkers to improve diagnosis, monitoring of disease progression, and prognosis. In this study, the GM of 33 DCM patients and 8 healthy subjects was automatically segmented using the method included in the Spinal Cord Toolbox (SCT). GM segmentation results were in good accordance with the underlying anatomy, demonstrating the feasibility of automatic GM segmentation in DCM patients exhibiting severe SC compression.

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